• Journal of Korean society of Dental Hygiene
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• v.23 no.6
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• pp.529-536
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• 2023

Objectives: This study aimed to determine the relationship between hours of smartphone use and oral disease symptoms in Korean adolescents. Methods: In this study, data from the 2022 Youth Health Behavior Online Survey were used. The final analysis was conducted on students who responded that they have used a smartphone (N=50,375). Chi-squared test and multivariate logistic regression analysis were used to analyze the relationship between oral disease symptoms and smartphone use time (p<0.05). Results: Consequent to examining the effect of smartphone use on oral disease symptoms, it was found that oral symptoms, such as pain during chewing and tingling throbbing, increased as smartphones were used for >4 h (p<0.05). Additionally, oral symptoms, such as gingivalgia bleeding and bad breath, appeared to increase as smartphones were used for >6 h (p<0.05). However, using smartphones for <0-2 h or 2-4 h had no effect on oral disease symptoms. Conclusions: In adolescents, oral disease symptoms increased significantly with increasing hours of smartphone use. Therefore, adolescents should be guided so that they use smartphones for <2 h or >4 h. Moreover, guidance on forming the habit of tooth brushing after eating food should be provided to prevent oral disease symptoms.

• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.95-104
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• 2015

In recent years, in accordance with the rapidly increasing number of smartphone users, various social problems have started to occur. Examples of these problems are the overuse of smartphones and bad usage habits of smartphone users that can cause new social problems such as smartphone addiction and other smartphone related diseases. With the aim of preventing these social problems, this paper proposes a new smartphone addiction and disease prevention system. This system was developed by collecting and analyzing smartphone usage patterns. This proposed system analyzes the usage patterns and working hours of smartphone users in real time. If the detected smartphone usage patterns reach a dangerous level, the system will send warning messages to the user. This will enable users to recognize the unhealthy situation in advance by themselves. In addition, this solution could possibly prevent smartphone addiction and other smartphone related illness by preventing overuse and encouraging abstinence from using smartphones to the extent that it becomes harmful to the user.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.283-291
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• 2018

Objectives: To identify the current status of smartphone usage and to describe the needs for smartphone-based cardiac telerehabilitation of cardiac patients. Methods: In 2016, a questionnaire survey was conducted in a supervised ambulatory cardiac rehabilitation (CR) program in a university affiliated hospital with the participation of heart failure or heart transplantation patients who were smartphone users. The questionnaire included questions regarding smartphone usage, demands for smartphone-based disease education, and home health monitoring systems. Results were described and analyzed according to principal diagnosis. Results: Ninety-six patients (66% male; mean age, $5{\pm}11$ years), including 56 heart failure and 40 heart transplantation patients, completed the survey (completion rate, 95%). The median daily smartphone usage time was 120 minutes (interquartile range, 60-300), and the most frequently used smartphone function was text messaging (61.5%). Of the patients, 26% stated that they searched for health-related information using their smartphones more than 1 time per week. The major source of health-related information was Internet browsing (50.0%), and the least sought source was the hospital's website (3.1%). Patients with heart failure expressed significantly higher needs for disease education on treatment plan, home health monitoring of blood pressure, and body weight (${\chi}^2=5.79$, 6.27, 4.50, p < 0.05). Heart transplantation patients expressed a significant need for home health monitoring of body temperature (${\chi}^2=5.25$, p < 0.05). Conclusions: Heart failure and heart transplantation patients show high usage of and interest in mobile health technology. A smartphone-based cardiac telerehabilitation program should be developed based on high demand areas and modified to suit to each principal diagnosis.

• Korean Journal of Veterinary Research
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• v.59 no.2
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• pp.97-100
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• 2019

It is important to select the correct disinfectants and to use them appropriately in order to prevent the initial spread of highly infectious livestock disease, such as foot-and-mouth disease or highly pathogenic avian influenza. This study describes a smartphone application developed to enable livestock workers to observe information related to disinfectants for the prevention of livestock disease in the domestic market, regardless of time and location, through a Linux-based Android mobile platform. This application (Konkuk-Disinfectant Information Database) provides information on disinfectant names, components, license and use; it was designed to enable the user to share disinfectant information through social media.

• Journal of the Semiconductor & Display Technology
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• v.20 no.1
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• pp.7-11
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• 2021

The electrocardiogram(ECG) and heart rates are essential for diagnosing heart disease. However, conventional portable ECG devices are possible to only measure heart rates or have limitations in how and where they are measured. In this paper, a portable ECG system in which ECG waveforms and heart rates are displayed on smartphone screens is developed. A smartphone is used as display equipment instead of a computer screen for continuous monitoring. The developed ECG system filters and amplifies detected analog ECG signals. Next, it converts the amplified analog ECG signals into digital signals, then transmits to the smartphone via Bluetooth communication. This ECG system can display and store biomedical signals on a smartphone through the application. As a result, the waveform and heart rates of the developed portable ECG system has been confirmed to be similar to those of existing medical devices.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.5
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• pp.373-383
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• 2015

This paper proposes a decision support system to recognizing retinal diseases. This paper uses a smartphone platform and cloud computing as the base of the system. A microscopic lens is attached int' the smartphone camera to capture the user retinal image for recognizing the user's retinal condition. An application is assembled in computer and then installed in to the smartphone. The application role is to connect between the system in smartphone and system in cloud, the application will send the retinal image to the cloud system to be classified. The paper uses OCFE (optimized classifier based on feature elimination) algorithm as the classifier. The retinal image is trained using combination of two ophthalmology databases DIARETDB1 v2.1 and STARE. Therefore, this system average accuracy is 88%, while the average error rate is 12%.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.89-91
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• 2011

Diabetes is a chronic disease which may lead to other life threatening health complications like heart disease, stroke and peripheral vascular disease that diminished quality of life. In order to assists diabetic patients, we develop a smartphone application to monitor the regular medicine intake and exercise routines through repetitive user friendly and motivational reminders. Health-practitioners including doctors and nurses can frequently view and analyze the daily routine of patients through a web-interface. This paper presents architecture to improve the quality of life with android smart phone as user terminal, and integration of webbased application through web services for health care professionals. We also explain how each of the application interacts with each other and internal integration.

• Journal of Korean Ophthalmic Optics Society
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• v.18 no.4
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• pp.473-479
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• 2013

Purpose: This article tried to find the changes of the eye and a correlation depending on watching a smartphone and taking in alcohol. Methods: This paper conducted the refraction inspection, the radius of corneal curvature, tonometry and the corneal thickness measurement and analysis for 31 persons (18 males and 13 females) who have healthy drinking habit, not having the medical history of taking medicine related with disorders of the eye, a mental disease, systemic disease and alcohol metabolism. Results: Of respirations depending on watching a smartphone, the alcohol concentration was significantly decreased in 15 minutes, 30 minutes, 45 minutes, 60 minutes and the convalescent stage. (p<0.01, p<0.001) As the result of comparing the refraction inspection after and before watching a smartphone when drinking alcohol, there was a significant difference in the cylindrical power and the axis. (p=0.005, p=0.001) The change of intraocular pressure depending on watching a smartphone after drinking alcohol was decreased significantly from 30 minutes (p<0.001), and watching a smartphone didn't have any significant effect on the corneal thickness depending on the elapsed time from when drinking alcohol. Conclusions: Watching a smartphone and taking in alcohol had a significant effect on the cylindrical power and the axis. Watching a smartphone and taking in alcohol which may cause the visual function-strain are the factors that need to consider before the refraction inspection.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.309-316
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• 2020

The aim of this study was to identify the relationship between smartphone usage time and oral health among Korean adolescents using data from the 13th (2017) Korea Youth Health Behavior Survey, which included 62,276 subjects. The daily smartphone usage time was categorized as not used, less than 2 hours, more than 2 hours, less than 4 hours, and more than 4 hours. Our results reveal that 60.1% of participants and 61.7% of smartphone users experienced oral disease symptoms annually, 27.4% of total adolescents used smartphone more than 4 hours daily during weekdays, and 53.8% more than 4 hours daily on weekends. The results from multivariate logistic regression analysis adjusting general characteristics show that the adjusted odds ratio (aOR) for risk of oral disease experience was 1.78 (95% confidence interval, CI 1.67-1.91) times higher in the group that used smartphones more than 4 hours a day on weekdays and 1.81 (95% CI 1.70-1.93) times higher in the group that used smartphones more than 4 hours a day on weekends compared to the group that did not use smartphones. The results indicate that smartphone overuse among Korean adolescents has a harmful effect on oral health. Education programs for reducing excessive use of smartphones among adolescents will help promote oral health.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.45-46
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• 2018

This paper focuses on human activities monitoring problem using onboard smartphone sensors as data generator. Monitoring such activities can be very important to detect anomalies and prevent disease from patients. Machine learning (ML) algorithms appear to be ideal approaches to use for processing data from smartphone to get sense of how to classify human activities. ML algorithms depend on quality, the quantity and even more important, the properties or features, that can be learnt from data. This paper proposes a mobile virtual reality visualization system that helps to view data representation in a very immersive way so that its quality and discriminative characteristics may be evaluated and improved. The proposed system comes as well with a handy data collecting application that can be accessed directly by the VR visualization part.